| A Data-Synchronous Event Model for GNU Radio TJ O’Shea, TW Rondeau Virginia Tech Wireless Personal Communications Symposium, 2012 | | 2012 |
| A Modest Proposal for Open Market Risk Assessment to Solve the Cyber-Security Problem TJ O'Shea, A Mondl, TC Clancy arXiv preprint arXiv:1604.08675, 2016 | 2 | 2016 |
| A universal GNU radio performance benchmarking suite TJ O’Shea, TW Rondeau Proceedings: 8th Karlsruhe Workshop on Software Radios, 6-11, 2014 | 7 | 2014 |
| A wideband signal recognition dataset N West, T O’Shea, T Roy 2021 IEEE 22nd International Workshop on Signal Processing Advances in …, 2021 | 11 | 2021 |
| Access networks with machine learning TJ O'shea, J Corgan, N Nair, N West, J Shea, T Newman US Patent App. 18/139,126, 2023 | | 2023 |
| Adversarially generated communications N West, T Roy, TJ O'shea, B Hilburn US Patent App. 16/786,281, 2020 | 6 | 2020 |
| An Introduction to Deep Learning for the Physical Layer TJ O'Shea, J Hoydis IEEE Transactions on Cognitive Communications and Networking, 2017 | 2731 | 2017 |
| Applications of machine learning to cognitive radio networks C Clancy, J Hecker, E Stuntebeck, T O'Shea Wireless Communications, IEEE 14 (4), 47-52, 2007 | 469 | 2007 |
| Approximating the void: Learning stochastic channel models from observation with variational generative adversarial networks TJ O’Shea, T Roy, N West 2019 International Conference on Computing, Networking and Communications …, 2019 | 136 | 2019 |
| Architecture for an open-source cognitive radio E Stuntebeck, T O’Shea, J Hecker, T Clancy Proceedings of the SDR forum technical conference, 2006 | 38 | 2006 |
| Benchmarking and interpreting end-to-end learning of MIMO and multi-user communication J Song, C Häger, J Schröder, TJ O’Shea, E Agrell, H Wymeersch IEEE Transactions on Wireless Communications 21 (9), 7287-7298, 2022 | 13 | 2022 |
| Benchmarking end-to-end learning of MIMO physical-layer communication J Song, C Häger, J Schröder, T O'Shea, H Wymeersch GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 21 | 2020 |
| Bursty Signals & Radio Learning T O'Shea, J Corgan GNU Radio Conference 2015, 2015 | | 2015 |
| Cognitive Radio Architectures for Broadband Workshop Organizing Committee—CRAB 2014— XS Cheng, T Melodia, YE Sagduyu, Y Shi, AM Wyglinski, A Abdel-Hadi, ... | | |
| Communications and measurement systems for characterizing radio propagation channels TJ O'shea, B Hilburn, N West, T Roy US Patent 11,284,277, 2022 | | 2022 |
| Communications and Measurement Systems for Characterizing Radio Propagation Channels TJ O'shea, B Hilburn, N West, T Roy US Patent App. 17/589,979, 2022 | | 2022 |
| Convolutional Radio Modulation Recognition Networks TJ O'Shea, J Corgan, TC Clancy Engineering Applications of Neural Networks: 17th International Conference …, 2016 | 1392 | 2016 |
| Deep Architectures for Modulation Recognition NE West, TJ O'Shea IEEE International Symposium on Dynamic Spectrum Access Networks, 2017 | 514 | 2017 |
| Deep Correlation-Aware Kernelized Autoencoders for Anomaly Detection in Cybersecurity. P Roy, T O’Shea, L Freeman, M Jin arXiv preprint arXiv:2301.00462, 2023 | | 2023 |
| Deep Learning Based Joint Multi-User MISO Power Allocation and Beamforming Design C Vahapoglu, TJ O'Shea, T Roy, S Ulukus arXiv preprint arXiv:2406.08373, 2024 | | 2024 |
Charles ClancySVP MITRE Labs & CTO, MITRE在 mitre.org 的电子邮件经过验证
